The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The extent of crowding in peripheral vision does not scale with target size
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ferrier lecture. Functional architecture of macaque monkey visual cortex
Hubel, D. H., & Wiesel, T. N. (1977) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1977.0085 · Cited by 2,608
Perceptual load as a major determinant of the locus of selection in visual attention
Lavie, N., & Tsal, Y. (1994) · Perception & Psychophysics · doi:10.3758/bf03213897 · Cited by 870 · cited 1×
“Lavie and Tsal (1994) propose that in the search paradigm, the amount of attentional resources allocated cannot be less than the total attentional capacity available.”
BackgroundHuman luminance pattern-vision mechanisms: masking experiments require a new model
Foley, J. M. (1994) · Journal of the Optical Society of America A · doi:10.1364/josaa.11.001710 · Cited by 573
Cited by
Action-Video-Game Experience Alters the Spatial Resolution of Vision
Green, C. S., & Bavelier, D. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01853.x · Cited by 872
Visual crowding: a fundamental limit on conscious perception and object recognition
Whitney, D., & Levi, D. M. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.02.005 · Cited by 849
Crowding is unlike ordinary masking: Distinguishing feature integration from detection
Pelli, D. G., Palomares, M., & Majaj, N. J. (2004) · Journal of Vision · doi:10.1167/4.12.12 · Cited by 832
Realistic precision and accuracy of online experiment platforms, web browsers, and devices
Anwyl-Irvine, A., Dalmaijer, E. S., Hodges, N., & Evershed, J. K. (2021) · Behavior Research Methods · doi:10.3758/s13428-020-01501-5 · Cited by 341
Jeon, S. T., Hamid, J., Maurer, D., & Lewis, T. L. (2010) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2010.05.009 · Cited by 86
Metadata
- Authors
- Tripathy, S. P., & Cavanagh, P.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 42
- Issue
- 20
- Pages
- 2357-2369
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2106640238
- Cited by
- 174
- References
- 3
- FWCI
- 2.42
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The extent of crowding in peripheral vision does not scale with target size. https://app.cochat.ai/papers/10.1016/s0042-6989(02)00197-9
- The paper
- Tripathy, S. P., & Cavanagh, P. (2002). The extent of crowding in peripheral vision does not scale with target size. Vision Research. https://doi.org/10.1016/s0042-6989(02)00197-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.